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20232025
most citedUnified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

3 citations · 4 across the 7 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023

KwaiYiiMath: Technical Report

Jiayi Fu, Lei Lin, Xiaoyang Gao +18

Recent advancements in large language models (LLMs) have demonstrated remarkable abilities in handling a variety of natural language processing (NLP) downstream tasks, even on math…

cs.LG2023★ 1 cited

ASP: Automatic Selection of Proxy dataset for efficient AutoML

Peng Yao, Chao Liao, Jiyuan Jia +4

Deep neural networks have gained great success due to the increasing amounts of data, and diverse effective neural network designs. However, it also brings a heavy computing burden…

cs.CV2023

USDC: Unified Static and Dynamic Compression for Visual Transformer

Huan Yuan, Chao Liao, Jianchao Tan +5

Visual Transformers have achieved great success in almost all vision tasks, such as classification, detection, and so on. However, the model complexity and the inference speed of t…

cs.CV2023★ 3 cited

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

Yang Jin, Kun Xu, Liwei Chen +12

Recently, the remarkable advance of the Large Language Model (LLM) has inspired researchers to transfer its extraordinary reasoning capability to both vision and language data. How…

cs.CV2023

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks

Jue Chen, Huan Yuan, Jianchao Tan +3

Brain-inspired Spiking Neural Networks (SNNs) have the characteristics of event-driven and high energy-efficient, which are different from traditional Artificial Neural Networks (A…